Cyber Forensics Intelligence Center
Permanent URI for this collectionhttps://hdl.handle.net/20.500.11875/2423
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Browsing Cyber Forensics Intelligence Center by Subject "association of single nucleotide polymorphisms (SNPs)"
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Item Supervised learning-based tagSNP selection for genome-wide disease classifications(BIomed Central, 2007-07-25) Liu, Qingzhong; Sung, Andrew H.; Chen, Zhongxue; Yang, Mary Qu; Huang, Xudong; Yang, JackComprehensive evaluation of common genetic variations through association of single nucleotide polymorphisms (SNPs) with complex human diseases on the genome-wide scale is an active area in human genome research. One of the fundamental questions in a SNP-disease association study is to find an optimal subset of SNPs with predicting power for disease status. To find that subset while reducing study burden in terms of time and costs, one can potentially reconcile information redundancy from associations between SNP markers